Location

Description

RSVP for Information Session

Course Overview

This is a prerequisite course for the Data Science class. In this prerequisite course, students will learn Python, probability and statistics concepts which will be required before you take the Data Science class. You need to know these concepts if you want to learn data science.

Video Conference details

Will be sent upon Registration and Payment

What is a Prerequisite?

Prerequisite is a course that must be completed (often with a certain minimum grade) or a skill that must be demonstrated before you can enroll in a more advanced course.

What course(s) can i take after completing this Prerequisite course?

Prerequisite Course + Data Science Bootcamp

Who can take this course?

Anyone who wants to know more about data science so it can help with their current job, or those who want to build a career in Data Science or become a Data Scientist.

Why Data Science Prerequisites Training from Omni212?

1. Omni212 has a Data Science consulting practice2. Our Instructor has a Ph.D. in Data Science3. Upon Registration and payment, immediate access to the course material on the cloud is provided. 4. Class recordings for this class will be made available. 5. Post class support6. Course material available. 7. Every topic includes slides, code example, video and home assignments8. Career advancement and Job placement assistance

Training Session Details

There will be 8 online sessions, each session being 2 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises.

Training Dates

July 6,10,13,17,20,24,27,31

Times: Mon, Thu 6:30 PM - 8:30 PM (Pacific Standard Time)

Each session will be recorded and the recordings will be shared after each session with students

Prerequisite

None

Software access

Proper software access will be provided. Students will carry out the hands-on lab exercises with instructor guidance.

Course Outline

Python, probability and statistics concepts:

1. Overview, Environment Setup/Test and Basic Syntax.

2. Variable Types, Basic Operators, Decision Making and Loops.

3. Lists, Tuples, Dictionary and Files I/O.

4. Functions, Modules, Classes and Exceptions Handling.

5. MySQL Database Access and CRUD Operations.

6. Numerical Descriptive Measures and Basic Probability.

7. The Normal Distribution and Other Continuous Distributions.

8. Linear and Non-linear Regression Analysis.

Class Size: Maximum 22

Price: $495

REFUND POLICY

1. There are no refunds.

2. If for any reason, students decide not to take this class, or the class is rescheduled or cancelled, the payment can be applied towards any future course by Omni212.